Solr in Action

Book Description

Summary

Solr in Action is a comprehensive guide to implementing
scalable search using Apache Solr. This clearly written book walks
you through well-documented examples ranging from basic keyword
searching to scaling a system for billions of documents and
queries. It will give you a deep understanding of how to implement
core Solr capabilities.

About the Book

Whether you’re handling big (or small) data, managing
documents, or building a website, it is important to be able to
quickly search through your content and discover meaning in it.
Apache Solr is your tool: a ready-to-deploy, Lucene-based, open
source, full-text search engine. Solr can scale across many servers
to enable real-time queries and data analytics across billions of
documents.

Solr in Action teaches you to implement scalable search
using Apache Solr. This easy-to-read guide balances conceptual
discussions with practical examples to show you how to implement
all of Solr’s core capabilities. You’ll master topics
like text analysis, faceted search, hit highlighting, result
grouping, query suggestions, multilingual search, advanced
geospatial and data operations, and relevancy tuning.

This book assumes basic knowledge of Java and standard database
technology. No prior knowledge of Solr or Lucene is required.

What’s Inside

How to scale Solr for big data

Rich real-world examples

Solr as a NoSQL data store

Advanced multilingual, data, and relevancy tricks

Coverage of versions through Solr 4.7

About the Authors

Trey Grainger is a director of engineering at
CareerBuilder. Timothy Potter is a senior member of the
engineering team at LucidWorks. The authors work on the scalability
and reliability of Solr, as well as on recommendation engine and
big data analytics technologies.